#diffusion-language-models News & Analysis

2 articles tagged with #diffusion-language-models. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 296/10

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DLM-SWAI: Steering Diffusion Language Models Before They Unmask

Researchers propose DLM-SWAI, a training-free method for steering diffusion language models toward desired outputs by biasing token distributions during iterative denoising. The approach enables controllable text generation for style and safety applications without retraining or auxiliary models, addressing a gap in control methods for diffusion-based language generation.

AINeutralarXiv – CS AI · Apr 206/10

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DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference

Researchers introduce DepCap, a training-free framework that optimizes diffusion language model (DLM) inference through adaptive block-wise parallel decoding. The method achieves up to 5.63× speedup by using cross-step signals to determine block boundaries and identifying conflict-free token subsets for safe parallel execution, maintaining quality while significantly accelerating inference.